College of Water Sciences, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing, China.
College of Water Sciences, Beijing Normal University, Beijing 100875, China.
Sci Total Environ. 2021 Oct 10;790:148139. doi: 10.1016/j.scitotenv.2021.148139. Epub 2021 May 30.
Water crisis across the globe has placed high pressure on social development due to the need to balance the water consumption between sustainable economy and functioning ecosystem. Integrated process-based modeling has been reported as an effective tool to better understand the complex mechanisms of water issues on a basin scale. Considering that it is still relatively difficult to simulate the water quantity-quality processes simultaneously, this study proposed an integrated modeling framework by coupling a hydrological model with a water quality model. Taking the Xiaoqing River Basin in the Shandong Province of northern China as an example, this study coupled a distributed hydrological model, SWAT, with a one-dimensional hydrodynamic-water quality model, HEC-RAS, to investigate its ability to simulate water quality and quality at the basin scale. The coupling of the two models adopted the "output-input" scheme, where the runoff modeling results from SWAT are input into HEC-RAS for hydrodynamic and water quality simulations of the river channel. The results show that the SWAT model can adequately reproduce runoff with accepted accuracy for the calibration and validation periods with acceptable R and Nash-Sutcliffe coefficients for the two hydrological stations. Further analysis also shows that the coupled model can simulate the concentration of ammonia nitrogen (NH-N) and the chemical oxygen demand (COD) in the middle and upper stream of the river for both low and high flow periods. The coupling of the hydrological and hydraulic models in this study provides a good tool for identifying the spatial patterns of the water pollutants over the basin and, thus, helps simplify precision water management.
全球水资源危机给社会发展带来了巨大压力,因为需要在可持续经济和生态系统功能之间平衡水资源消耗。基于过程的综合建模已被报道为一种有效工具,可以更好地理解流域尺度上的水问题的复杂机制。考虑到同时模拟水量和水质过程仍然相对困难,本研究提出了一种通过耦合水文模型和水质模型的综合建模框架。以中国北方山东省小清河流域为例,本研究将分布式水文模型 SWAT 与一维水动力水质模型 HEC-RAS 耦合,以调查其在流域尺度上模拟水质和水量的能力。两个模型的耦合采用“输出-输入”方案,即 SWAT 的径流量建模结果输入到 HEC-RAS 中,以进行河道的水动力和水质模拟。结果表明,SWAT 模型可以充分再现径流量,在校准和验证期具有可接受的精度,两个水文站的 R 和纳什-斯屈特系数也具有可接受的精度。进一步的分析还表明,该耦合模型可以模拟河流中上游在低流量和高流量时期的氨氮(NH-N)和化学需氧量(COD)的浓度。本研究中水文和水力模型的耦合为识别流域内水污染物的空间分布模式提供了一个很好的工具,从而有助于简化精确的水资源管理。